A new low frequency resonance accelerometer for low speed bearing ...
A New Low Frequency Resonance Sensor for Low Speed Roller Bearing Monitoring Shumin Hou1,2 1
Yourong Li1
Zhigang Wang1
Ming Liang2
Hubei province key lab of machine transmission and manufacturing engineering, Wuhan
University of Science and Technology, Wuhan, Hubei, 430081, People’s Republic of China 2
Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
Phone: 086-27-68862292, fax: 086-27-68862283, email: [email protected]
Abstract The resonance demodulation technique has been widely used to detect rolling bearing faults based on the signal acquired by piezoelectric accelerometers. However, this method is ineffective in extremely low speed applications due to the instrument limitations of many commercial piezoelectric accelerometers. To alleviate this difficulty, we present a low frequency resonance accelerometer to capture extremely low speed rolling bearing faults. The design details are reported in this paper. With this new sensor, the resonance demodulation technique can be extended to many low rotational speed applications. This has been demonstrated by two industrial cases: a) bearing fault detection for a tilting mechanism in a converter mill, and b) monitoring a crossed roller bearing of a bucket wheel staker-reclaimer in a thermal power plant.
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1. Introduction Low speed rotating machine components can be seen in various mechanical systems such as steel mills, wind turbines, and rotating biological contactors. Bearings in such machines are often subject to heavy loads and harsh working conditions which contribute to premature bearing failures. To avoid fatal machine breakdowns, faults occurring in low speed bearings should be detected as early as possible. Attempts have been made in the application of vibration diagnosis to low speed bearings. For instance, Canada et al. [1] developed a slow speed technology (SST) system for measuring vibrations on low speed rotating machinery which was based on separating the high frequency noise of the machine from the low frequency signatures of interest. The application of the SST method was also reported in [2]. Elforjani [3] investigated the use of acoustic emission (AE) to monitor natural defect initiation and propagation in a low speed bearing rotating at 72rpm. Mechefske et al. [4] used parametric models (auto–regressive) of amplitude demodulated vibration signals to generate frequency spectra on low speed (
Yourong Li1
Zhigang Wang1
Ming Liang2
Hubei province key lab of machine transmission and manufacturing engineering, Wuhan
University of Science and Technology, Wuhan, Hubei, 430081, People’s Republic of China 2
Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, K1N 6N5, Canada
Phone: 086-27-68862292, fax: 086-27-68862283, email: [email protected]
Abstract The resonance demodulation technique has been widely used to detect rolling bearing faults based on the signal acquired by piezoelectric accelerometers. However, this method is ineffective in extremely low speed applications due to the instrument limitations of many commercial piezoelectric accelerometers. To alleviate this difficulty, we present a low frequency resonance accelerometer to capture extremely low speed rolling bearing faults. The design details are reported in this paper. With this new sensor, the resonance demodulation technique can be extended to many low rotational speed applications. This has been demonstrated by two industrial cases: a) bearing fault detection for a tilting mechanism in a converter mill, and b) monitoring a crossed roller bearing of a bucket wheel staker-reclaimer in a thermal power plant.
1
1. Introduction Low speed rotating machine components can be seen in various mechanical systems such as steel mills, wind turbines, and rotating biological contactors. Bearings in such machines are often subject to heavy loads and harsh working conditions which contribute to premature bearing failures. To avoid fatal machine breakdowns, faults occurring in low speed bearings should be detected as early as possible. Attempts have been made in the application of vibration diagnosis to low speed bearings. For instance, Canada et al. [1] developed a slow speed technology (SST) system for measuring vibrations on low speed rotating machinery which was based on separating the high frequency noise of the machine from the low frequency signatures of interest. The application of the SST method was also reported in [2]. Elforjani [3] investigated the use of acoustic emission (AE) to monitor natural defect initiation and propagation in a low speed bearing rotating at 72rpm. Mechefske et al. [4] used parametric models (auto–regressive) of amplitude demodulated vibration signals to generate frequency spectra on low speed (
